class_docstr: A model API that tags input sentence.
  
  Attributes:
      model: Model.
      preprocessor: Transformer. Preprocessing data for feature extraction.
      tokenizer: Tokenize input sentence. Default tokenizer is `str.split`.
code: def _get_prob(self, pred):
      prob = np.max(pred, -1)
  
      return prob
  
file_path: anago/anago/tagger.py
imports: import numpy
  from seqeval.metrics.sequence_labeling import get_entities
label_desc: Use image node_id 3 for calling the Tagger obj's underlying member method code with example usage: obj._get_prob(pred) and returns: prob